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Sensing, Actuation Triggering and Decision Making for Service Robots Deployed in Smart Homes

  • Conference paper
Ambient Intelligence (AmI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7040))

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Abstract

The Florence project develops a robot for elderly that provides multiple Ambient Assisted Living (AAL) and Lifestyle services with a consistent user-interface. The project success is measured by the acceptance of these services by the user group. Enabling such service robotics in (smart) homes requires a robust and flexible platform to collect, enhance and distribute sensory information; and to manipulate the actuators in the environment. A key characteristic of such an environment is that sensors and actuators are not always available, are distributed, and are mobile (due to e.g. the robot and phone mobility). This dynamicity requires a loose coupling between services and sensors/actuators. The paper describes the design principles and high level architecture of the Florence platform that hides the distribution, availability and mobility aspects from the services, and sketches some challenges that lie ahead.

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Author information

Authors and Affiliations

  1. Novay, Netherlands

    Mortaza S. Bargh, Niels Snoeck & Henk Eertink

  2. FASS (Gr.), Germany

    Melvin Isken

  3. Philips Research, Netherlands

    Dietwig Lowet

  4. NEC Eurolabs (Gr.), Germany

    Benjamin Hebgen

Authors
  1. Mortaza S. Bargh
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  2. Melvin Isken
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  3. Dietwig Lowet
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  4. Niels Snoeck
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  5. Benjamin Hebgen
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  6. Henk Eertink
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Editor information

Editors and Affiliations

  1. Delft University of Technology, Landbergstraat 15, 2628CE, Delft, The Netherlands

    David V. Keyson

  2. College of Information Studies, University of Maryland, College Park, 2117E Hornbake Hall, 20742-4345, Marylandm, USA

    Mary Lou Maher

  3. Smart Future Initiative, Konrad-Zuse-Str. 43, 60438, Frankfurt, Germany

    Norbert Streitz

  4. Keio University, Japan and National University of Singapore, Heng Miu Keng Terrace 02-01-01A, 119613, Singapore

    Adrian Cheok

  5. School of Computing and Mathematics, University of Ulster, Shore Road, BT37 0QB, Newtownabbey, Co. Antrim, UK

    Juan Carlos Augusto

  6. Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  7. Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Gwenn Englebienne

  8. Ambient Intelligence Research Lab., Stanford University and Ghent University, 350 Serra Mall, David Packard #318, 94305-9515, Stanford, CA, USA

    Hamid Aghajan

  9. Informatics Institute, University of Amsterdam and Amsterdam University of Applied Sciences, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Ben J. A. Kröse

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© 2011 Springer-Verlag Berlin Heidelberg

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Bargh, M.S., Isken, M., Lowet, D., Snoeck, N., Hebgen, B., Eertink, H. (2011). Sensing, Actuation Triggering and Decision Making for Service Robots Deployed in Smart Homes. In: Keyson, D.V., et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_34

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  • DOI: https://doi.org/10.1007/978-3-642-25167-2_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25166-5

  • Online ISBN: 978-3-642-25167-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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